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Resúmen

\n

\"Muchos científicos sociales están intrigados por la posibilidad de que interacciones sociales positivas puedan suceder con mayor probabilidad en algunos vecindarios que en otros.  Mientras la mayoría de los programas tienen como blancos individuos y hogares, algunos programas que se enfocan en comunidades particulares tienen el potencial de beneficiar a un número más grande de personas que aquellos que se enfocan en individuos por separado\" 237-238

\n

El efecto de vecindad se entiende como una interacción social que ocurre en la proximidad cercana a la residencia de un individuo, y que afecta el bienestar social y económico. 238

\n

Mi meta es considerar potenciales políticas para mejorar los resultados para los residentes de estos vecindarios pobres, incluyendo políticas de relocalización que ayudan a hogares de bajos ingresos a moverse a áreas menos segregadas; el deresarrollo de políticas que mejoran las condiciones de los vecindarios existentes; y los programas de intervención comunitaria que proveen recursos a nivel local, más que a nivel familiar o individual. 238

\n

 

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Resúmen

\n

Conceptualmente la evaluación, se inserta en el marco teórico del
análisis de las políticas públicas, en la medida que ésta persigue producir información que tenga alguna relevancia con la toma de decisiones política-administrativas, información útil que permita resolver problemas concretos (Ballart, 1992). 

\n

En general los fines de a los que se dirige la evaluación, dependerán del objeto de ésta, pero en términos globales tiene que ver con la generación de información para la toma de decisiones, como “conocimiento para la acción”. 14

\n

En el caso de la evaluación de políticas y programas el objetivo claro de la evaluación es el perfeccionamiento de éstos, en términos de maximización de eficacia (logro de objetivos buscados), y eficiencia desde el punto de vista de la economicidad de los medios utilizados, en un contexto de escasez de recursos. 14

\n

En el caso de la evaluación del desempeño de las entidades públicas, el propósito es un mix entre el apoyo a la toma de decisiones de las estrategias para lograr mejores resultados y gestionar más eficientemente y eficazmente sus procesos, así como apoyar la rendición de cuentas a usuarios y diferentes grupos de interés, y para fines de formulación presupuestaria, asignando recursos a cumplimiento de objetivos

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Generic Statistical Business Process Model
II. The Model
Purpose

\n

3. The original intention was for the GSBPM to provide a basis for statistical organizations to agree on standard terminology to aid their discussions on developing  statistical metadata systems and processes. The GSBPM should therefore be seen as a flexible tool to describe and define the set of business processes needed to produce official statistics 1

\n

As well as being applicable for processes which result in statistics, the GSBPM can also be applied to the development and maintenance of statistical registers, where the inputs are similar to those for statistical production (though typically with a greater focus on administrative data), and the outputs are typically frames or other data extractions, which are then used as inputs to other processes.

\n

 Applicability
4. The GSBPM is intended to apply to all activities undertaken by producers of official statistics, at both the national and international levels, which result in data outputs. It is designed to be independent of the data source, so it can be used for the description and
quality assessment of processes based on surveys, censuses, administrative records, and other non-statistical or mixed sources.

\n

II phases

\n


6. As well as being applicable for processes which result in statistics, the GSBPM can also be applied to the development and maintenance of statistical registers, where the inputs are similar to those for statistical production (though typically with a greater focus on administrative data), and the outputs are typically frames or other data extractions,
which are then used as inputs to other processes.

\n

7. flexibly. It is not intended to be a rigid framework in which all steps must be followed in a strict order, but rather a model that
identifies the steps in the statistical business process, and the inter dependencies between them.

\n

Structure
9. The GSBPM comprises four levels:
· Level 0, the statistical business process;
· Level 1, the nine phases of the statistical business process;
· Level 2, the sub-processes within each phase;
· Level 3, a description of those sub-processes. 3

\n

11. According to process modelling theory, each sub-process should have a number of clearly identified attributes, including:
· Input(s);
· Output(s);
· Purpose (value added);
· Owner;
· Guides (for example manuals and documentation);
· Enablers (people and systems);
· Feedback loops or mechanisms. 3

\n

12. The GSBPM also recognizes several over-arching processes that apply throughout the nine phases, and across statistical business processes. These can be grouped into two categories, those that have a statistical component, and those that are more general, and could apply to any sort of organization.

\n

13. Over-arching statistical processes include the following.

\n\n

V. Levels 2 and 3 of the Generic Statistical Business Process Model

\n

GSBPM.

\n


Phase 1 – Specify Needs

\n

This phase is triggered when a need for new statistics is identified, or feedback about current statistics initiates a review. It determines whether there is a presently unmet demand, externally and / or internally, for the identified statistics and whether the statistical organization can produce them.

\n


24. In this phase the organization:

\n\n

1.1. Determine needs for information p.11

\n

1.2. Consult and confirm needs Aquí es importante señalar que la respuesta a las necesidades de los stakeholders (grupos de interés) pueden ser mejoradas a través de la realización de análisis espacial de los datos, que dificilmente ellos van a hacer.

\n

1.3. Establish output objectives

\n

1.4. Identify concepts

\n

1.5. Check data availability

\n

1.6. Prepare business case

\n

Phase 2 – Design

\n

This phase describes the development and design activities, and any associated practical research work needed to define the statistical outputs, concepts, methodologies, collection instruments and operational processes. For statistical outputs produced on a regular basis, this phase usually occurs for the first iteration, and whenever improvement actions are identified in phase 9 (Evaluate) of a previous iteration.

2.1. Design outputs – This sub-process contains the detailed design of the statistical outputs to be produced, including the related development work and preparation of the systems and tools used in phase 7 (Disseminate).

\n

2.2 Design variable descriptions – This sub-process defines the statistical variables to be collected via the data collection instrument, as well as any other variables that will be derived from them in sub-process 5.5 (Derive new variables and statistical units), and any classifications that will be used.

\n

2.3. Design data collection methodology - This sub-process determines the most appropriate data collection method(s) and instrument(s).

\n

2.4. Design frame and sample methodology - This sub-process identifies and specifies the population of interest, defines a sampling frame (and, where necessary, the register from which it is derived), and determines the most appropriate sampling criteria and methodology.

\n

2.5. Design statistical processing methodology - This sub-process designs the statistical processing methodology to be applied during phase 5 (Process), and Phase 6 (Analyse). This can include specification of routines for coding, editing, imputing, estimating, integrating, validating and finalising data sets.

\n

2.6. Design production systems and workflow - This sub-process determines the workflow from data collection to archiving, taking an overview of all the processes required within the whole statistical production process

\n


Phase 3 – Build

\n

28. This phase builds and tests the production systems to the point where they are ready for use in the “live” environment. For statistical outputs produced on a regular basis, this phase usually occurs for the first iteration, and following a review or a change in methodology, rather than for every iteration.

\n\n

Phase 4 – Collect

\n

29. This phase collects all necessary data, using different collection modes (including extractions from administrative and statistical registers and databases), and loads them into the appropriate data environment. It does not include any transformations of collected data, as these are all done in phase p.15

\n

30. The Collect phase is broken down into four sub-processes

\n\n

Phase 5 – Process

\n

31. This phase describes the cleaning of data records and their preparation for analysis. It is made up of sub-processes that check, clean, and transform the collected data, and may be repeated several times

\n

33. This phase is broken down into eight sub-processes, which may be sequential, from left to right, but can also occur in parallel, and can be iterative. These sub-processes are: 17

\n

5.1. Integrate data

\n\n

Phase 6 – Analyse

\n

34. In this phase, statistics are produced, examined in detail and made ready for dissemination. This phase includes the sub-processes and activities that enable statistical analysts to understand the statistics produced.

\n\n

Phase 7 – Disseminate

\n

This phase manages the release of the statistical products to customers. For statistical outputs produced regularly, this phase occurs in each iteration. It is made up of five sub-processes, which are generally sequential, from left to right, but can also occur in
parallel, and can be iterative. These sub-processes are: 19

\n\n

Phase 8 – Archive

\n\n

- 22 -

\n


Phase 9 – Evaluate

\n

39. This phase manages the evaluation of a specific instance of a statistical business process, as opposed to the more general over-arching process of statistical quality management described in Section VI.

\n\n

VI. Over-arching processes 23

\n\n

VII. Other Uses of the GSBPM 26-27

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el uso de áreas pequeñas permite tener en cuenta los atributos del área de residencia o contextuales como determinantes de la salud (Susser y Susser, 1996; Diez-Roux, 2001)

\n

 

\n

Se han evidenciado las ventajas del uso de la sección censal como área geográfica para el estudio de la variabilidad espacial de resultados en salud y para el estudio de las desigualdades socioeconómicas en salud (Krieger, 2006). En ellas la población es más homogénea en cuanto a condiciones socioeconómicas, el entorno presenta características medioambientales similares, la información necesaria para llevar estudios ecológicos se encuentra habitualmente disponible en organismos oficiales y hay pocos problemas de confidencialidad asociados. 444

\n

 

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al anàlisis de regresiòn, la tècnica estadìstica màs ùtil para investigar y modelar la relaciòn entre variables. Ofrece ademàs aplicaciones en varios campos, como ingenierìa, ciencias fìsicas y quìmicas, economìa, administraciòn, asì como en ciencias sociales y biològicas. Gracias a su enfoque didàctico, presenta un equilibrio entre la teorìa y las aplicaciones de la regresiòn lineal.", "series": "", "seriesNumber": "", "volume": "", "numberOfVolumes": "", "edition": "", "date": "", "publisher": "", "place": "", "originalDate": "", "originalPublisher": "", "originalPlace": "", "format": "", "numPages": "588", "ISBN": "", "DOI": "", "citationKey": "", "url": "", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "Spanish", "libraryCatalog": "Amazon", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": {}, "dateAdded": "2016-06-01T05:35:57Z", "dateModified": "2016-06-01T05:36:09Z" } }, { "key": "UTHU5RDV", "version": 17, "library": { "type": "group", "id": 346553, "name": "analisis_espacial_educacion", "links": { "alternate": { "href": "https://www.zotero.org/groups/analisis_espacial_educacion", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/346553/items/UTHU5RDV", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/analisis_espacial_educacion/items/UTHU5RDV", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/346553/items/EPDUKCJK", "type": "application/json" } }, "meta": { "createdByUser": { "id": 723006, "username": "javierjacome", "name": "Javier Jácome", "links": { "alternate": { "href": "https://www.zotero.org/javierjacome", "type": "text/html" } } } }, "data": { "key": "UTHU5RDV", "version": 17, "parentItem": "EPDUKCJK", "itemType": "attachment", "linkMode": "linked_url", "title": "Amazon.com Link", "accessDate": "2016-06-01T05:35:57Z", "url": "http://www.amazon.com/Introduccion-Analisis-Regresion-Lineal-Dolares/dp/B00IMK16YY/ref=sr_1_fkmr0_2?ie=UTF8&qid=1464759223&sr=8-2-fkmr0&keywords=introduccion+al+analisis+de+regresion+lineal+montgomery+3+edicion", "note": "", "contentType": "text/html", "charset": "", "tags": [], "relations": {}, "dateAdded": "2016-06-01T05:35:57Z", "dateModified": "2016-06-01T05:35:57Z" } }, { "key": "7UF72BVC", "version": 15, "library": { "type": "group", "id": 346553, "name": "analisis_espacial_educacion", "links": { "alternate": { "href": "https://www.zotero.org/groups/analisis_espacial_educacion", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/346553/items/7UF72BVC", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/analisis_espacial_educacion/items/7UF72BVC", "type": "text/html" } }, "meta": { "createdByUser": { "id": 723006, "username": "javierjacome", "name": "Javier Jácome", "links": { "alternate": { "href": "https://www.zotero.org/javierjacome", "type": "text/html" } } }, "creatorSummary": "Chen and Lu", "parsedDate": "2015", "numChildren": 2 }, "data": { "key": "7UF72BVC", "version": 15, "itemType": "journalArticle", "title": "Checking determinism of regular expressions with counting", "creators": [ { "creatorType": "author", "firstName": "Haiming", "lastName": "Chen" }, { "creatorType": "author", "firstName": "Ping", "lastName": "Lu" } ], "abstractNote": "In this paper, we first present characterizations of weak determinism for regular expressions with counting, based on which we develop an O ( | Σ E | | E | ) time algorithm to check whether an expression E with counting is weakly deterministic, where Σ E is the set of distinct symbols in the expression E. Moreover, our algorithm can locate nondeterminism in subexpressions, which is useful for diagnosing purpose. Then we present a characterization of strong determinism for regular expressions with counting, and study the relations between weak determinism and strong determinism. Based on these, we give an O ( | E | ) time algorithm to check strong determinism, improving the previous upper bound of O ( | E | 3 ) time. Finally, historically there has been another definition of strong determinism for standard regular expressions, which we call restricted strong determinism in this paper. We extend this definition to expressions with counting, establish the relation between the two definitions, and give an O ( | E | ) time algorithm to check restricted strong determinism for regular expressions with counting.", "publicationTitle": "Information and Computation", "publisher": "", "place": "", "date": "Abril 2015", "volume": "241", "issue": "", "section": "", "partNumber": "", "partTitle": "", "pages": "302-320", "series": "", "seriesTitle": "", "seriesText": "", "journalAbbreviation": "Information and Computation", "DOI": "10.1016/j.ic.2014.12.001", "citationKey": "", "url": "http://www.sciencedirect.com/science/article/pii/S0890540114001539", "accessDate": "2015-05-22T20:02:22Z", "PMID": "", "PMCID": "", "ISSN": "0890-5401", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "ScienceDirect", "callNumber": "", "rights": "", "extra": "00001", "tags": [ { "tag": "DTD", "type": 1 }, { "tag": "Nondeterminism locating", "type": 1 }, { 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"accessDate": "", "PMID": "", "PMCID": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "", "language": "", "libraryCatalog": "Google Scholar", "callNumber": "", "rights": "", "extra": "", "tags": [], "collections": [], "relations": { "owl:sameAs": "http://zotero.org/groups/173963/items/R9PGZTHU" }, "dateAdded": "2015-05-20T15:30:14Z", "dateModified": "2015-05-20T15:30:26Z" } }, { "key": "Q8WB9T3P", "version": 11, "library": { "type": "group", "id": 346553, "name": "analisis_espacial_educacion", "links": { "alternate": { "href": "https://www.zotero.org/groups/analisis_espacial_educacion", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/346553/items/Q8WB9T3P", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/analisis_espacial_educacion/items/Q8WB9T3P", "type": "text/html" } }, "meta": { "createdByUser": { "id": 723006, "username": "javierjacome", "name": "Javier Jácome", "links": { "alternate": 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"abstractNote": "Varios de los aspectos fundamentales a la hora de evaluar el proceso de acomodación de los inmigrados en las ciudades de llegada son, por un lado, el grado de segregación residencial y, por otro, las características que presentan dichas residencias. Ambos fenómenos no son un hecho novedoso dentro de la estructura urbana de nuestras ciudades, sin embargo, la llegada de población extranjera está desdibujando una trama urbana que se regía, fundamentalmente, por cuestiones económicas, para añadir el factor étnico y de discriminación, en un sector que es controlado, sobre todo, por agentes privados. En la provincia de Almería los africanos padecen una de las peores condiciones residenciales de toda España: a las altas tasas de segregación se le une la ocupación de residencias que no cumplen con los requisitos de una vivienda digna. Así, este trabajo muestra como los inmigrados africanos están circunscritos a un mercado residencial segmentado en el cuál la capacidad de endeudamiento no es principal, ni el único eje explicativo de su situación. Juan Carlos Checa Olmos es doctor en Sociología y profesor de la Universidad de Almería. Sus principales líneas de investigación se centran en los procesos de acomodación de los inmigrados en materia laboral y residencial. Ha sido investigador visitante en la Universidad de Michigan (Estados Unidos) y en el CNRS (Francia).", "series": "", "seriesNumber": "", "volume": "", "numberOfVolumes": "", "edition": "", "date": "2007", "publisher": "Icaria Editorial", "place": "", "originalDate": "", "originalPublisher": "", "originalPlace": "", "format": "", "numPages": "150", "ISBN": "9788474266030", "DOI": "", "citationKey": "", "url": "", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "Viviendo Juntos Aparte", "language": "es", "libraryCatalog": "Google Books", "callNumber": "0012", "rights": "", "extra": "00020", "tags": [ { "tag": "History / Europe / General", "type": 1 } ], "collections": [ "GGR26MSH" ], "relations": {}, "dateAdded": "2015-04-26T20:27:23Z", "dateModified": "2015-04-26T20:27:27Z" } }, { "key": "9GPKP3IN", "version": 7, "library": { "type": "group", "id": 346553, "name": "analisis_espacial_educacion", "links": { "alternate": { "href": "https://www.zotero.org/groups/analisis_espacial_educacion", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/346553/items/9GPKP3IN", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/analisis_espacial_educacion/items/9GPKP3IN", "type": "text/html" } }, "meta": { "createdByUser": { "id": 723006, "username": "javierjacome", "name": "Javier Jácome", "links": { "alternate": { "href": "https://www.zotero.org/javierjacome", "type": "text/html" } } }, "creatorSummary": "Veiga", "parsedDate": "1999", "numChildren": 2 }, "data": { "key": "9GPKP3IN", "version": 7, "itemType": "book", "title": "Pobreza, segregación y exclusión espacial: la vivienda de los inmigrantes extranjeros en España", "creators": [ { "creatorType": "author", "firstName": "Ubaldo Martínez", "lastName": "Veiga" } ], "abstractNote": "", "series": "", "seriesNumber": "", "volume": "", "numberOfVolumes": "", "edition": "", "date": "1999", "publisher": "Icaria Editorial", "place": "", "originalDate": "", "originalPublisher": "", "originalPlace": "", "format": "", "numPages": "180", "ISBN": "9788474264203", "DOI": "", "citationKey": "", "url": "", "accessDate": "", "ISSN": "", "archive": "", "archiveLocation": "", "shortTitle": "Pobreza, segregación y exclusión espacial", "language": "es", "libraryCatalog": "Google Books", "callNumber": "0000", "rights": "", "extra": "00002", "tags": [], "collections": [ "GGR26MSH" ], "relations": {}, "dateAdded": "2015-04-26T20:27:23Z", "dateModified": "2015-04-26T20:27:24Z" } }, { "key": "28SN68RT", "version": 7, "library": { "type": "group", "id": 346553, "name": "analisis_espacial_educacion", "links": { "alternate": { "href": "https://www.zotero.org/groups/analisis_espacial_educacion", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/346553/items/28SN68RT", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/analisis_espacial_educacion/items/28SN68RT", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/346553/items/DJK3R3KZ", "type": "application/json" } }, "meta": { "createdByUser": { "id": 723006, "username": "javierjacome", "name": "Javier Jácome", "links": { "alternate": { "href": "https://www.zotero.org/javierjacome", "type": "text/html" } } } }, "data": { "key": "28SN68RT", "version": 7, "parentItem": "DJK3R3KZ", "itemType": "attachment", "linkMode": "linked_url", "title": "Google Books Link", "accessDate": "2013-04-10T20:47:01Z", "url": "http://books.google.es/books?id=bJZ1OI1XPigC", "note": "", "contentType": "text/html", "charset": "", "tags": [], "relations": {}, "dateAdded": "2015-04-26T20:27:23Z", "dateModified": "2015-04-26T20:27:23Z" } }, { "key": "CRJJGXFV", "version": 7, "library": { "type": "group", "id": 346553, "name": "analisis_espacial_educacion", "links": { "alternate": { "href": "https://www.zotero.org/groups/analisis_espacial_educacion", "type": "text/html" } } }, "links": { "self": { "href": "https://api.zotero.org/groups/346553/items/CRJJGXFV", "type": "application/json" }, "alternate": { "href": "https://www.zotero.org/groups/analisis_espacial_educacion/items/CRJJGXFV", "type": "text/html" }, "up": { "href": "https://api.zotero.org/groups/346553/items/DJK3R3KZ", "type": "application/json" } }, "meta": { "createdByUser": { "id": 723006, "username": "javierjacome", "name": "Javier Jácome", "links": { "alternate": { "href": "https://www.zotero.org/javierjacome", "type": "text/html" } } }, "numChildren": 0 }, "data": { "key": "CRJJGXFV", "version": 7, "parentItem": "DJK3R3KZ", "itemType": "note", "note": "

Vivienda: \"construcción cerrada y cubierta de una estructura que tiene como finalidad albergar a individuos y ofrecer servicios básicos\" 9.

\n

La vivienda no es sólo alojamiento, es también un bien de cambio 9

\n

 

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Vivienda: \"cualquier tipo de construcción que da cobijo a sus habitantes contra las posibles inclemencias del tiempo\". 

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\"La vivienda no se considera un bien social, sino una mercancía, una fuente de ganancia privada\".

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Funciones, de acuerdo con Harvey, 1973: cobido; espacio de uso exclusivo por parte de los ocupantes; espacio privado; lugar accesible al puesto de trabajo, a centros de mercado, servicios sociales, familia y amigos; lugar cercano/lejano a fuentes de contamientación, inseguridad ciudadana, etc.; situación dentro de un área que tiene unas características físicas, sociales y simbólicas; medio para almacenar recursos o pesesiones.

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